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The Story of GraphLab - From Scaling Machine Learning to Shaping Graph Systems Research (VLDB 2023 Test-of-time Award Talk)

Summary: GraphLab pioneered vertex- and edge-centric APIs plus high-performance asynchronous execution and out-of-core support to scale graph ML and inference. Broad open-source adoption (Turi) catalyzed advances in graph processing, graph DBs, and AI/ML systems. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13282
Venue
VLDB
Year
2023
Pagerank
-
Overall Rank
13,198 | 8.19%
DOI
10.14778/3611540.3611637

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
37 Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud 2012 VLDB 0.0007522744
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